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Question 22/42
Which of the following unsupervised learning models can a bank use for fraud detection?
Correct Answer: A
Explanation
Anomaly detection is an unsupervised learning technique that identifies outliers or abnormal patterns in data, which can be useful for fraud detection. Anomaly detection algorithms can learn the normal behavior of transactions and flag the ones that deviate significantly from the norm, indicating possible fraud.
Anomaly detection is an unsupervised learning technique that identifies outliers or abnormal patterns in data, which can be useful for fraud detection. Anomaly detection algorithms can learn the normal behavior of transactions and flag the ones that deviate significantly from the norm, indicating possible fraud.
- Question List (42q)
- Question 1: Which of the following pieces of AI technology provides the ...
- Question 2: You are implementing a support-vector machine on your data, ...
- Question 3: Which of the following items should be included in a handove...
- Question 4: We are using the k-nearest neighbors algorithm to classify t...
- Question 5: Your dependent variable Y is a count, ranging from 0 to infi...
- Question 6: Your dependent variable data is a proportion. The observed r...
- Question 7: In general, models that perform their tasks:...
- Question 8: Which of the following metrics is being captured when perfor...
- Question 9: Which of the following are true about the transform-design p...
- Question 10: An AI system recommends New Year's resolutions. It has an ML...
- Question 11: Which of the following statements are true regarding highly ...
- Question 12: Which of the following is a common negative side effect of n...
- Question 13: You create a prediction model with 96% accuracy. While the m...
- Question 14: Which of the following is the primary purpose of hyperparame...
- Question 15: Which of the following is a type 1 error in statistical hypo...
- Question 16: R-squared is a statistical measure that:...
- Question 17: When working with textual data and trying to classify text i...
- Question 18: Which of the following best describes distributed artificial...
- Question 19: Which two techniques are used to build personas in the ML de...
- Question 20: Which of the following principles supports building an ML sy...
- Question 21: You are developing a prediction model. Your team indicates t...
- Question 22: Which of the following unsupervised learning models can a ba...
- Question 23: In general, models that perform their tasks:...
- Question 24: In addition to understanding model performance, what does co...
- Question 25: Which of the following can take a question in natural langua...
- Question 26: For a particular classification problem, you are tasked with...
- Question 27: An organization sells house security cameras and has asked t...
- Question 28: Which of the following options is a correct approach for sch...
- Question 29: What is Word2vec?
- Question 30: Why do data skews happen in the ML pipeline?...
- Question 31: You have a dataset with thousands of features, all of which ...
- Question 32: Which of the following sentences is TRUE about the definitio...
- Question 33: For each of the last 10 years, your team has been collecting...
- Question 34: You train a neural network model with two layers, each layer...
- Question 35: Which two of the following criteria are essential for machin...
- Question 36: Which of the following describes a neural network without an...
- Question 37: Which of the following regressions will help when there is t...
- Question 38: Given a feature set with rows that contain missing continuou...
- Question 39: Workflow design patterns for the machine learning pipelines:...
- Question 40: Which of the following sentences is true about model evaluat...
- Question 41: The following confusion matrix is produced when a classifier...
- Question 42: Which database is designed to better anticipate and avoid ri...
